For recognition, we select a single pose or
value and
use it exclusively to map the faces detected into a consistent view. The view
we select is a frontal, mug-shot view which seems best for recognition
purposes (although we could try synthesizing profile views, for instance and
checking how recognition results vary with such data).

Since the faces will be projected into a standard, frontal view, using a
pre-determined pose, a fixed cropping or segmentation of the 2D projection can
be performed and reapplied to every new face undergoing the projection. Thus,
we can automatically generate consistent frontal, segmented mug-shot views of
any individual as long as we specify the four 2D anchor points corresponding to
the eyes, the mouth and the nose. An example of a synthesized mug-shot face is
shown in Figure .